ReviewBrain structure & function2022
A hands-on tutorial on network and topological neuroscience.
Review in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 47 citations in OpenAlex.
- Social Disconnection in the Brain: Loneliness and Age across Networks using Graph Theory.bioRxiv : the preprint server for biology · 2026Article
- Social disconnection in the brain: loneliness and age across networks using graph theory.Oxford open neuroscience · 2026Article
- Perspective-taking in video advertising: insights from EEG connectivity and channel-wise spectral analysis.Frontiers in behavioral neuroscience · 2026Article
- Evaluating topological and graph-theoretical approaches to extract complex multimodal brain connectivity patterns in multiple sclerosis.Health information science and systems · 2025Article
- Higher-Order Triadic Interactions: Insights Into the Multiscale Network Organization in Schizophrenia.Human brain mapping · 2025Article
- Methods for Brain Connectivity Analysis with Applications to Rat Local Field Potential Recordings.Entropy (Basel, Switzerland) · 2025Article
- Quantifying the influence of biophysical factors in shaping brain communication through remnant functional networks.Network neuroscience (Cambridge, Mass.) · 2025Article
- Audiovisual integration and whole-brain networks in preterm and full-term neonates: A two-layer multiplex network perspective on structural and functional connectivity.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Neighbourhood topology unveils pathological hubs in the brain networks of epilepsy-surgery patients.Brain communications · 2025Article
- Triadic percolation induces dynamical topological patterns in higher-order networks.PNAS nexus · 2024Article
- Using interactive Jupyter Notebooks and BioConda for FAIR and reproducible biomolecular simulation workflows.PLoS computational biology · 2024Article
- Untargeted Metabolome Atlas for Sleep Phenotypes in the Hispanic Community Health Study/Study of Latinos.medRxiv : the preprint server for health sciences · 2024Article
- Higher-order functional connectivity analysis of resting-state functional magnetic resonance imaging data using multivariate cumulants.Human brain mapping · 2024Article
- The relationship between pathological brain activity and functional network connectivity in glioma patients.Journal of neuro-oncology · 2024Article
- The mesolimbic system and the loss of higher order network features in schizophrenia when learning without reward.Frontiers in psychiatry · 2024Article
- Mapping functional traces of opioid memories in the rat brain.Brain communications · 2024Article
- Topological Data Analysis Captures Task-Driven fMRI Profiles in Individual Participants: A Classification Pipeline Based on Persistence.Neuroinformatics · 2024Article
- The architecture of functional brain network modulated by driving under train running noise exposure.PloS one · 2024Article
- Early development of the functional brain network in newborns.Brain structure & function · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The brain is an extraordinarily complex system that facilitates the optimal integration of information from different regions to execute its functions. With the recent advances in technology, researchers can now collect enormous amounts of data from the brain using neuroimaging at different scales and from numerous modalities. With that comes the need for sophisticated tools for analysis. The field of network neuroscience has been trying to tackle these challenges, and graph theory has been one of its essential branches through the investigation of brain networks. Recently, topological data analysis has gained more attention as an alternative framework by providing a set of metrics that go beyond pairwise connections and offer improved robustness against noise. In this hands-on tutorial, our goal is to provide the computational tools to explore neuroimaging data using these frameworks and to facilitate their accessibility, data visualisation, and comprehension for newcomers to the field. We will start by giving a concise (and by no means complete) overview of the field to introduce the two frameworks and then explain how to compute both well-established and newer metrics on resting-state functional magnetic resonance imaging. We use an open-source language (Python) and provide an accompanying publicly available Jupyter Notebook that uses the 1000 Functional Connectomes Project dataset. Moreover, we would like to highlight one part of our notebook dedicated to the realistic visualisation of high order interactions in brain networks. This pipeline provides three-dimensional (3-D) plots of pairwise and higher-order interactions projected in a brain atlas, a new feature tailor-made for network neuroscience.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.